A biologically based model for the integration of sensory–motor contingencies in rules and plans: A prefrontal cortex based extension of the Distributed Adaptive Control architecture

• Published in: Brain research bulletin Vol. 85; no. 5; pp. 289 - 304
• Main Authors: Duff, Armin, Sanchez Fibla, Marti, Verschure, Paul F.M.J.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 30.06.2011
• Subjects: Animals; Autonomous synthetic agents; Distributed Adaptive Control; Humans; Intelligence; Learning - physiology; Models, Neurological; Neurology; Neuropsychological Tests; Planning; Prefrontal cortex; Prefrontal Cortex - anatomy & histology; Prefrontal Cortex - physiology; Psychomotor Performance - physiology; Rule learning and switching; User-Computer Interface; Distributed Adaptive Control; Model; Rule learning and switching; Planning; Prefrontal cortex; Autonomous synthetic agents

Intelligence depends on the ability of the brain to acquire and apply rules and representations. At the neuronal level these properties have been shown to critically depend on the prefrontal cortex. Here we present, in the context of the Distributed Adaptive Control architecture (DAC), a biologicall...